On Thu, Feb 3, 2011 at 3:59 PM, Jeffrey Wang wrote:
> To be a little more clear, a simplified version of what I'm asking is:
>
> Let's say you add 1K columns with timestamps 1 to 1000. Then, at an
> arbitrarily distant point in the future, if you call remove on that CF with
> timestamp 500 (so t
essage-
From: sc...@scode.org [mailto:sc...@scode.org] On Behalf Of Peter Schuller
Sent: Thursday, February 03, 2011 8:48 AM
To: user@cassandra.apache.org
Subject: Re: rolling window of data
> The correct way to accomplish what you describe is the new (in 0.7)
> per-column TTL. Simply set thi
@scode.org [mailto:sc...@scode.org] On Behalf Of Peter Schuller
Sent: Thursday, February 03, 2011 8:48 AM
To: user@cassandra.apache.org
Subject: Re: rolling window of data
> The correct way to accomplish what you describe is the new (in 0.7)
> per-column TTL. Simply set this to 60 * 60 * 24 * 90
> The correct way to accomplish what you describe is the new (in 0.7)
> per-column TTL. Simply set this to 60 * 60 * 24 * 90 (90 day's worth of
> seconds) and your columns will magically disappear after that length of
> time.
Although that assumes it's okay to loose data or that there is some
oth
thelastpickle.com]
> *Sent:* Wednesday, February 02, 2011 9:21 PM
> *To:* user@cassandra.apache.org
> *Subject:* Re: rolling window of data
>
>
>
> This project may provide some inspiration for you
> https://github.com/thobbs/logsandra
>
>
>
> Not sure if it has a
user@cassandra.apache.org
Subject: Re: rolling window of data
This project may provide some inspiration for you
https://github.com/thobbs/logsandra
Not sure if it has a rolling window, if you find out let me know :)
Aaron
On 03 Feb, 2011,at 06:08 PM, Jeffrey Wang wrote:
Hi,
We're trying to use Cassan
the trick, but that apparently is not supported yet. Another idea I had was to store the timestamp of the log entry as Cassandras timestamp and pass in artificial timestamps to remove (thrift API), but that seems hacky. Does anyone know if there is a good way to support this kind of rolling window
ove (thrift API), but that seems hacky. Does anyone know if
there is a good way to support this kind of rolling window of data efficiently?
Thanks.
-Jeffrey
